Paper Info
Title
Fast disparity estimation for 3DTV applications
Abstract
The depth estimation reference software (DERS) algorithm developed by the MPEG 3-D Video Coding could produce high-quality disparity maps for 3DTV applications but suffers from high computational complexity due to its complicated graph-cut optimization. Therefore, this paper proposed a new fast disparity estimation algorithm that could significantly reduce the computational complexity by the downsampled matching cost method. To address the temporal consistency in videos, this paper proposed the no-motion registration for the foreground copy artifact and the still-edge preservation for the flicker artifact. In addition, the occlusion problem is also solved in the proposed algorithm. The experimental results show that our algorithm could generate comparable disparity maps to the DERS algorithm, and only takes 10.8% of its execution time.
Year
DOI
Venue
2012
10.1109/VCIP.2012.6410760
VCIP
Keywords
Field
DocType
hidden feature removal,optimisation,3d tv,still-edge preservation,flicker artifact,three-dimensional television,image matching,foreground copy artifact,graph-cut optimization,ders,occlusion problem,disparity estimation,computational complexity,fast disparity estimation,no-motion registration,video coding,stereoscopic video,image registration,stereo image processing,mpeg 3d video coding,downsampled matching cost method,depth estimation reference software
Computer vision,Flicker,Computer science,Image matching,Theoretical computer science,Coding (social sciences),Execution time,Artificial intelligence,Reference software,Temporal consistency,Image registration,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
978-1-4673-4406-7
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Yu-cheng Tseng11068.90
Tian-Sheuan Chang271269.10